Weilong Jiang

Latent Attention Denoising: A Training-Free Energy-Based Framework for Mitigating Hallucinations in Vision-Language Models

Latent Attention Denoising (LAD) is introduced, a principled and training-free framework that recasts attention calibration as a one-step score-based denoising process that achieves superior performance on both generative and discriminative tasks.